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While some researchers have advocated applying deep learning tools to communication system (especially receivers) design, others are doubtful as to how much benefits these tools can offer. On one hand, communication systems have been designed and optimized by generations of dedicated efforts for bandwidth, power, and complexity efficiency, and reliability, leaving little room for improvements in most cases. On the other hand, deep learning enabled networks, supported by results such as universal approximation theorem, seem to promise a new and simple design regime where near optimal performance can be achieved by merely using certain ready to use deep learning modules, applying them to communication design problems, and tuning them based on the easily generated training data. The deep learning based approach may offer some new design approaches for traditionally difficult signal processing tasks in communications and networks. This conference is meant to stimulate the debate and provide a forum for researchers working in related problems to exchange ideas and recent results (both positive and negative ones) in applying artificial intelligence to communications and networks. Both supervised learning and unsupervised learning, reinforcement learning, and recent developments in generative adversarial networks, and game-theoretic setups are also of great interests. Topics The topics will include, but are not limited to the following: Deep Learning/Machine Learning on Information and Signal Processing AI in Ubiquitous Mobile Wireless Communications AI-based Network Transmission and Traffic Scheduling AI for Security in Communication Networks AI-based Network Intelligence for IoT Recent Advances in AI theory and its applications Publication All registered papers will be published by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL). Authors of selected papers will be invited to submit an extended version to: Mobile Networks and Applications (MONET) Journal (IF: 2.390) Additional publication opportunities: EAI Transactions series (Open Access) EAI/Springer Innovations in Communications and Computing Book Series Community Review Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process. Abstracts of all authors who opt in to Community Review during submission will be published and available for Bidding here. Learn more about the Community Review process Paper submission Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section). Papers should be from 6 to 12 pages long with reference.</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2019-08-15</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">CCF</th><th id="yw3_c1">CORE</th><th id="yw3_c2">QUALIS</th><th id="yw3_c3">Short</th><th id="yw3_c4">Full Name</th><th id="yw3_c5">Submission</th><th id="yw3_c6">Notification</th><th id="yw3_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td></td><td></td><td>BDISS</td><td><a href="/conference/4606">Asia Conference on Big Data, Information and System Security</a></td><td>2023-09-30</td><td>2023-10-10</td><td>2023-10-27</td></tr> <tr 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title="/conference/3417"><span>123</span><span>734</span><span>124</span><span>121</span><span>877</span><span>122</span><span>319</span><span>270</span><span>461</span><span>747</span></div> </div></div> </div> </div> <div class="portlet" id="yw8"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw9"> <li><a href="http://www.myhuiban.com/conference/track/id/3417"><i class="icon icon-plus"></i>   Track It <span class="badge badge-warning pull-right">1</span></a></li> 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